Triple

T29798814
Position Surface form Disambiguated ID Type / Status
Subject Wonderland murders E756631 entity
Predicate hasSurvivor P11769 FINISHED
Object Susan Launius NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Susan Launius | Statement: [Wonderland murders, hasSurvivor, Susan Launius]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSurvivor
Context triple: [Wonderland murders, hasSurvivor, Susan Launius]
  • A. hasSurvivors chosen
    Indicates that one or more entities continue to exist or remain alive after a particular event, condition, or incident.
  • B. isSurvivorOf
    Indicates that one entity has lived through, endured, or remained alive after a particular event, condition, or harmful circumstance involving another entity.
  • C. hasSurvivorTerm
    Indicates that an entity is associated with a term or label specifically used to describe survivors of an event, condition, or circumstance.
  • D. survivesWith
    Indicates that one entity continues to live, endure, or remain viable in the presence, context, or company of another entity.
  • E. survivesBy
    Indicates that one entity continues to live or exist after another entity has died or ceased to exist.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f22454583081908927516cb9938d1d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fddac4e2f48190a9301d3422658b29 completed May 8, 2026, 12:44 p.m.
PD Predicate disambiguation batch_69fdda06969c8190b5d033964ea2a690 completed May 8, 2026, 12:41 p.m.
Created at: April 29, 2026, 5:17 p.m.